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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0266
+- eval_precision: 0.9595
+- eval_recall: 0.9642
+- eval_f1: 0.9618
+- eval_accuracy: 0.9957
+- eval_runtime: 60.7498
+- eval_samples_per_second: 271.474
+- eval_steps_per_second: 16.971
+- epoch: 9.98
+- step: 58000
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.13.1
+- Datasets 2.3.2
+- Tokenizers 0.10.3